# Want alternative table of top phenotypes if only one chr.
# Use set_par$dataset and input$chr_ct
# length(chr_ct) == 1 & !("all" %in% chr_ct)
# dplyr::filter(peaks_tbl(), chr == chr_ct, pheno_type %in% dataset)
# dplyr::select(pheno, pheno_type, chr, pos, lod)
#' @importFrom rlang .data
#'
peakDataTable <- function(scan_tbl, peaks_tbl) {
chrs <- unique(scan_tbl$chr)
pheno_types <- unique(scan_tbl$pheno)
peaks_tbl <- dplyr::filter(peaks_tbl, .data$chr %in% chrs)
pheno_groups <- unique(peaks_tbl$pheno_group)
if(all(pheno_types %in% pheno_groups)) {
pheno_types <- dplyr::filter(
dplyr::distinct(peaks_tbl, .data$pheno_type, .data$pheno_group),
.data$pheno_group %in% pheno_types)$pheno_type
}
dplyr::arrange(
dplyr::select(
dplyr::filter(peaks_tbl,
.data$pheno_type %in% pheno_types),
.data$pheno, .data$pheno_type, .data$chr, .data$pos, .data$lod),
desc(.data$lod))
}
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